Learn More
Automotive Control Systems are an application area of Automatic Control Science with increasing importance. A generation ago, vehicles were mainly designed by mechanical engineers. Today, about 1/3 of a vehicle’s added value is electronics. Customer-relevant vehicle functions are more and more determined by information and automation technology. The basic(More)
Modern sliding table saws are equipped with several passive safety devices. However, alone in Germany several hundred severe injuries or limb amputations occur each year. Thus an active safety system is developed in order to protect the machine user. For this purpose, a camera is applied as the main sensor system for hazard analysis. When a dangerous(More)
A method for detecting laterally critical driving situations based on the vehicle body side slip angle (VBSSA) is investigated. Based on a nonlinear vehicle model, the vehicle stability is analyzed graphically on the β–β̇ plane (or phase plane). The stable area can be determined depending on the wheel turn angle δF , the velocity v and the road friction(More)
Finding the best compromise between comfort and dynamic during Tipin/out operations in heavy trucks is the aim of this project. Therefore, in this paper a new control concept is introduced based on model predictive control. The main parts of this concept are a fusion of the two different control targets comfort and dynamic to one resulting control variable(More)
BACKGROUND Replacing parts of the aorta with a non-compliant vascular prosthesis results in marked alterations of the aortic input impedance and influences arterial hemodynamics. We propose a mathematical model of circulation that can predict hemodynamic changes after simulation of vascular grafting. METHODS A new mathematical model of the human arterial(More)
In this paper, a new architecture for sensor fusion for advanced driver assistant system (ADAS) is proposed. This architecture is based on Bayesian Network and plays the role of a platform for integrating various sensors such as Lidar, Radar and Vision sensors into sensor fusion systems. This architecture has the following 3 major advantages: (1) It makes(More)
  • Anne von Vietinghoff, Marcus Hiemer, Uwe Kiencke, FLFR FSFL, FSFR FSRL, FSRR xCoG
  • 2005
The vehicle sideslip angle (VSSA) is determined using a nonlinear observer with Adaption of a Quality Function. The observer design is based on an adapted nonlinear double track model. By validation with real measurement data, the model accuracy is proven to be sufficient for observer design. The observer is derived and validated with real measurement data(More)